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AI automation & machine learning digital solutions

DevOps Engineer/Systems Engineer (Mission Systems)

Posted: 4 days ago
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
MySQL
Git
PostgreSQL
Bash
Jenkins
LAMBDA
ec2
S3
AWS
Terraform
IAM
Prometheus
RDS
CloudWatch
Vpc
Alertmanager
Networking Fundamentals
Custom Applications
Open-Source Tools
COTS/GOTS
IAM Policy Hardening
AWS Well-Architected Best Practices

About the job

Location: McLean, VA

Must have an active TS/SCI FS Poly

Role Overview

Join a specialized engineering team dedicated to designing, implementing, and maintaining enterprise-grade mission systems, networks, and applications. You will play a critical role in driving DevOps excellence, ensuring high availability, and automating complex cloud infrastructures.

Requirements

Mandatory Skills

  • CI/CD & Automation: Proven experience building and managing robust pipelines with Jenkins (required).
  • Infrastructure as Code (IaC): Strong proficiency in Terraform (required) for provisioning scalable AWS environments.
  • AWS Expertise: Deep hands-on experience with core services, including EC2, S3, RDS, Lambda, VPC, IAM, and CloudWatch.
  • Scripting: Advanced proficiency in Bash and Python (both required) for automation and systems integration.
  • Containerization: Experience managing containerized workloads using Docker or Podman.
  • Database Administration: Experience self-hosting, tuning, and securing PostgreSQL and MySQL, including high-availability and recovery strategies.
  • Observability: Hands-on experience with monitoring and alerting stacks, specifically Prometheus/Alertmanager and CloudWatch.
  • Systems Integration: Proven ability to deploy and integrate diverse ecosystems, including COTS/GOTS, open-source tools, and custom applications.
  • Architecture & Security: Strong grasp of networking fundamentals, IAM policy hardening, and AWS Well-Architected best practices.
  • Version Control: Expert knowledge of Git-based workflows, branching strategies, and repository management.

Preferred Skills

  • Data Operations: Experience managing Lakehouse architectures and data platform components (e.g.,Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs).
  • Security & Governance: Familiarity with AWS Secrets Manager/Parameter Store and modern API gateway patterns.
  • Resiliency & Planning: Knowledge of enterprise Disaster Recovery (DR) and Business Continuity Planning (BCP).
  • Advanced Workloads: Background in supporting AI/ML model-serving infrastructure or NoSQL environments (DynamoDB, MongoDB).
  • Efficiency: Experience with AWS cost optimization and right-sizing strategies.
  • Full-Stack Monitoring: Familiarity with the ELK Stack and Grafana for advanced visualization.
  • Leadership: Experience mentoring junior team members and championing DevOps/Cloud-native best practices.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training